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Restore test.py for use as standalone validator

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This commit is contained in:
James Betker 2020-10-19 15:26:07 -06:00
parent 8ca566b621
commit 76e4f0c086
3 changed files with 11 additions and 8 deletions
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4
codes/models/archs/SPSR_arch.py
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@ -745,7 +745,7 @@ class SwitchedSpsr(nn.Module):
weight_init_factor=.1)
# Feature branch
self.model_fea_conv = ConvGnLelu(in_nc, nf, kernel_size=7, norm=False, activation=False)
self.model_fea_conv = ConvGnLelu(in_nc, nf, kernel_size=3, norm=False, activation=False)
self.sw1 = ConfigurableSwitchComputer(transformation_filters, multiplx_fn,
pre_transform_block=pretransform_fn, transform_block=transform_fn,
attention_norm=True,
@ -761,7 +761,7 @@ class SwitchedSpsr(nn.Module):
# Grad branch
self.get_g_nopadding = ImageGradientNoPadding()
self.b_fea_conv = ConvGnLelu(in_nc, nf, kernel_size=7, norm=False, activation=False, bias=False)
self.b_fea_conv = ConvGnLelu(in_nc, nf, kernel_size=3, norm=False, activation=False, bias=False)
mplex_grad = functools.partial(ConvBasisMultiplexer, nf * 2, nf * 2, switch_reductions,
switch_processing_layers, self.transformation_counts // 2, use_exp2=True)
self.sw_grad = ConfigurableSwitchComputer(transformation_filters, mplex_grad,

2
codes/scripts/validate_data.py
View File

@ -13,7 +13,7 @@ from skimage import io
def main():
#### options
parser = argparse.ArgumentParser()
parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../../options/train_exd_imgset_spsr7.yml')
parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../../options/train_imgset_spsr_switched2_xlbatch.yml')
parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none',
help='job launcher')
parser.add_argument('--local_rank', type=int, default=0)

13
codes/test.py
View File

@ -5,14 +5,16 @@ import argparse
from collections import OrderedDict
import os
import options.options as option
import utils
import utils.options as option
import utils.util as util
from data.util import bgr2ycbcr
import models.archs.SwitchedResidualGenerator_arch as srg
from switched_conv_util import save_attention_to_image, save_attention_to_image_rgb
from switched_conv import compute_attention_specificity
from models.ExtensibleTrainer import ExtensibleTrainer
from switched_conv.switched_conv_util import save_attention_to_image, save_attention_to_image_rgb
from switched_conv.switched_conv import compute_attention_specificity
from data import create_dataset, create_dataloader
from models import create_model
from tqdm import tqdm
import torch
import models.networks as networks
@ -91,6 +93,7 @@ if __name__ == "__main__":
parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../options/srgan_compute_feature.yml')
opt = option.parse(parser.parse_args().opt, is_train=False)
opt = option.dict_to_nonedict(opt)
utils.util.loaded_options = opt
util.mkdirs(
(path for key, path in opt['path'].items()
@ -108,7 +111,7 @@ if __name__ == "__main__":
logger.info('Number of test images in [{:s}]: {:d}'.format(dataset_opt['name'], len(test_set)))
test_loaders.append(test_loader)
model = create_model(opt)
model = ExtensibleTrainer(opt)
fea_loss = 0
for test_loader in test_loaders:
test_set_name = test_loader.dataset.opt['name']